Data Scientist

Position Overview

We are looking for a seasoned Data Scientist to become part of our Analytics and Artificial Intelligence team at our Cary, NC location. This full-time role offers benefits and requires 8+ years of experience, with a flexible onsite/hybrid work arrangement from day one. The ideal candidate will bring in-depth knowledge of Machine Learning, Artificial Intelligence, predictive analytics, and statistical modeling, with a focus on delivering scalable solutions to enhance customer engagement, marketing strategies, and overall business growth within the insurance and financial services sectors.

Key Responsibilities

• Design, develop, train, and refine Machine Learning, Deep Learning, and AI models tailored for customer engagement, marketing, sales, and business analytics applications.
• Construct and implement production-level ML and Generative AI solutions including batch processing, API deployment, and real-time inference systems.
• Perform analysis on extensive and complex datasets to uncover trends, patterns, anomalies, and actionable insights that drive business decisions.
• Conduct exploratory data analysis, feature engineering, validate models, and maintain performance tracking.
• Develop predictive analytics models and AI solutions aimed at enhancing customer experiences, communication approaches, revenue streams, and business results.
• Collaborate effectively with business stakeholders and multidisciplinary teams to translate complex business needs into data-driven models.
• Embed AI functionalities into business applications using APIs, microservices, and cloud-first architectures.
• Create insightful dashboards, visual reports, and presentations to communicate analytical conclusions and strategic recommendations.
• Implement MLOps best practices to guarantee model scalability, reliability, governance, and stable operations in production.
• Keep abreast of the latest developments in Data Science, Machine Learning, AI, and Generative AI technologies.
• Champion ethical AI use, including data privacy protection, governance of models, bias reduction, and ongoing monitoring.
• Assume full responsibility for deliverables, technical decisions, project timelines, and solution performance quality.

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related quantitative discipline.
• Over 8 years of professional experience in Data Science, Machine Learning, Artificial Intelligence, or similar fields.
• Minimum of 5 years’ experience within the Insurance or Financial Services industries, ideally contributing to sales, marketing, customer engagement, or analytics projects.
• Proven track record designing, deploying, and maintaining ML and Generative AI solutions in production environments.
• Expert programming skills in Python focused on machine learning and advanced analytics.
• Experience building machine learning models in cloud ecosystems, preferably Microsoft Azure.
• Strong SQL proficiency with practical expertise in data analysis, anomaly detection, and exploratory analytics.
• Familiarity with Azure Machine Learning, Power BI, and Domino Data Lab platforms.
• Solid grounding in statistics, mathematical modeling, predictive analytics, and machine learning algorithms.
• Ability to apply predictive and AI-driven analytics to enhance marketing efficiency, customer engagement, and corporate outcomes.
• Excellent analytical and problem-solving capabilities combined with effective decision-making skills.
• Strong communication skills, capable of articulating complex insights through storytelling and visualization.
• Ability to engage productively with both technical teams and non-technical stakeholders.

Preferred Qualifications

• Hands-on experience with Generative AI and Large Language Models (LLMs).
• Knowledge of MLOps methodologies, model monitoring practices, and cloud-native AI system architectures.
• Awareness of ethical AI principles, including frameworks for responsible AI deployment and model governance.
• Experience operating in heavily regulated environments like Insurance or Financial Services.

About Capgemini and Benefits

Capgemini promotes holistic employee well-being throughout various life and career stages. Eligible employees can access:

• Flexible work options
• Comprehensive healthcare plans covering dental, vision, mental health, and wellness programs
• Financial health initiatives such as 401(k) plans and Employee Share Ownership schemes
• Paid time off and recognized holidays
• Paid parental leave policies
• Family support benefits including adoption assistance, surrogacy, and reproductive preservation
• Social welfare services like subsidized backup child and elder care, tutoring services
• Opportunities for mentoring, coaching, and continuous learning
• Various Employee Resource Groups and community support
• Disaster relief assistance

Equal Opportunity Statement and Accommodation

Capgemini stands as an Equal Opportunity Employer fostering diversity and inclusion. All applications will be considered regardless of race, nationality, gender identity or expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status, or any other legally protected factor. We strive to provide reasonable accommodations throughout the recruitment process to support applicants with disabilities.